支持科学网关环境下的智能系统应用

2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics Pub Date : 2015-05-21 DOI:10.1109/SACI.2015.7208204

K. Karóczkai, Anna Bánáti, P. Kacsuk, M. Kozlovszky

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引用次数: 1

摘要

智能系统的应用越来越受到人们的重视，尤其是在健康监测方面的研究。从传感器捕获的数据不断到达，对于有效处理这种大量数据流处理将提供理想的解决方案[6]。流处理意味着没有中间存储，数据应该在它们来自传感器时进行处理。存储和下载数据是一个耗时的机制，在我们的调查过程中，我们已经证明数据下载时间对我们的健康监控智能应用程序的整体执行有重大影响。我们研究了最常见的科学网关解决方案，以检查数据从外部存储到执行节点或基础设施的路径，并为数据移动最少的智能系统应用程序定义了执行模型。

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Supporting smart system applications in scientific gateway environment

Smart system application are gaining significant attention especially concerning health monitoring researches. Data captured from sensors are arriving continuously and for an efficient handling of this large volume of data stream processing would give the ideal solution [6]. Stream processing means that without intermediate storage the data should be processed as they are coming from the sensors. Storing and downloading data is a time-consuming mechanism, and during our investigation we have proved that data downloading time has significant impact on the overall execution of our health monitoring smart application. We have investigated the most common science gateway solution to examine the path that data takes from the outer storage to the executor node or the infrastructure and we have defined an execution model for smart system applications where the data movement is minimal.

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2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics

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